Triple

T20535989
Position Surface form Disambiguated ID Type / Status
Subject Kaskelen River E504199 entity
Predicate near P350 FINISHED
Object Kaskelen NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kaskelen | Statement: [Kaskelen River, near, Kaskelen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaskelen
Context triple: [Kaskelen River, near, Kaskelen]
  • A. Kaskelen chosen
    Kaskelen is a town in southeastern Kazakhstan that serves as a local center within the Almaty Region, situated near the city of Almaty.
  • B. Klaukkala
    Klaukkala is the largest and most populous urban area of the municipality of Nurmijärvi in southern Finland, functioning as a key residential and commercial center for the region.
  • C. Kilkea
    Kilkea is a small village in County Kildare, Ireland, best known for its historic medieval castle and surrounding rural landscape.
  • D. Kallaste
    Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
  • E. Nakkila
    Nakkila is a small municipality in western Finland known for its rural landscapes and location along the Kokemäki River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4b476648190bc6019622ae54d3c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a06ed3088190bd01a95672b01ad6 completed April 20, 2026, 9:53 p.m.
Created at: April 16, 2026, 11:37 a.m.